50 citations · 166 across the 7 of their papers we have counts for
7 papers
Modelling the dusty universe II: The clustering of submillimetre-selected galaxies
C. Almeida, C. M. Baugh, C. G. Lacey
We combine the GALFORM semi-analytical model of galaxy formation, which predicts the star formation and merger histories of galaxies, the GRASIL spectro-photometric code, which cal…
Modelling the spectral energy distribution of galaxies: introducing the artificial neural network
L. Silva, A. Schurer, G. L. Granato +7
The spectral energy distribution of galaxies is a complex function of the star formation history and geometrical arrangement of stars and gas in galaxies. The computation of the ra…
Modelling the dusty universe I: Introducing the artificial neural network and first applications to luminosity and colour distributions
C. Almeida, C. M. Baugh, C. G. Lacey +4
We introduce a new technique based on artificial neural networks which allows us to make accurate predictions for the spectral energy distributions (SEDs) of large samples of galax…
Extremely Red Objects in a hierarchical universe
V. Gonzalez-Perez, C. M. Baugh, C. G. Lacey +1
We analyse whether hierarchical formation models based on Lambda cold dark matter cosmology can produce enough massive red galaxies to match observations. For this purpose, we comp…
Massive, red galaxies in a hierarchical universe I. Counts of Extremely Red Objects and basic properties
V. Gonzalez-Perez, C. M. Baugh, C. G. Lacey +1
We present predictions for the abundance and nature of Extremely Red Objects (EROs) in the Lambda cold dark matter model. EROs are red, massive galaxies observed at z>= 1 and their…
Luminous Red Galaxies in hierarchical cosmologies
C. Almeida, C. M. Baugh, D. A. Wake +4
Luminous red galaxies (LRGs) are much rarer and more massive than L* galaxies. Coupled with their extreme colours, LRGs therefore provide a demanding testing ground for the physics…